Title :
Network security model for analyzing network-based control systems under denial of service attacks
Author :
Long, Men ; Wu, Chwan-Hwa John ; Hung, John Y. ; Irwin, J. David
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Auburn Univ., AL, USA
Abstract :
Denial of service (DoS) attacks have become major threats to network security, which is pertinent to the deployment and performance of network-based control systems (NBCS). In this paper, we propose two queueing models to simulate the stochastic process of packet transmission under DoS attacks. The motivation is to quantitatively investigate how the attacks affect the performance of NBCS. The control system consists of a discrete PI controller (either event- or time-driven), a second-order plant, and two one-way delay vectors induced by networks. Experimental results indicate that the event-driven controller is more robust than the time-driven one under attacks. Model I DoS attacks (excessive packet loss) impair the performance, but do not destabilize the system with the event-driven controller. Model II DoS attacks (increased delay jitter) deteriorate the performance or even destabilize the system.
Keywords :
Internet; PI control; authorisation; control system synthesis; delays; discrete event systems; jitter; queueing theory; stochastic processes; telecommunication security; delay jitter; denial of service attack; discrete PI controller; event-driven controller; network security; network-based control systems; one-way delay vector; packet loss; packet transmission; queueing model; second-order plant; stochastic process; time-driven control; Computer crime; Control system analysis; Control system synthesis; Control systems; Delay; Jitter; Niobium compounds; Performance loss; Robust control; Stochastic processes;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1432240